BSW in Social Work/Accelerated MS in Data Analytics Engineering 24 months Postgraduate Programme By George Mason University |TopUniversities

BSW in Social Work/Accelerated MS in Data Analytics Engineering

Subject Ranking

# 501-550QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Study Level

Masters

The undergraduate social work program prepares students for beginning generalist professional practice in social work at the baccalaureate level and has been granted full accreditation by the Council on Social Work Education. All students are expected to abide by the Code of Ethics of the National Association of Social Workers. The MS in Data Analytics Engineering is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization. It is aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business intelligence and other information intensive groups generating and consuming large amounts of data. The focus of the degree is on the technologies and methodologies of data analytics and areas of expertise within the Volgenau School of Engineering.

Programme overview

Main Subject

Computer Science and Information Systems

Study Level

Masters

The undergraduate social work program prepares students for beginning generalist professional practice in social work at the baccalaureate level and has been granted full accreditation by the Council on Social Work Education. All students are expected to abide by the Code of Ethics of the National Association of Social Workers. The MS in Data Analytics Engineering is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization. It is aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business intelligence and other information intensive groups generating and consuming large amounts of data. The focus of the degree is on the technologies and methodologies of data analytics and areas of expertise within the Volgenau School of Engineering.

Admission Requirements

6.5+
Other English Language requirements: Students are required to have paper-based TOEFL of 570 and 230 on the computer-based TOEFL ; overall band score of 59 on the Pearson Test of English.

2 Years
Jan-2000

Tuition fees

Domestic
0 USD
International
0 USD

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

PhD in Physics arrows

Go to Programme ::type_cta_button::
Postgrad Programmes 1799